Patch-Based Brain Age Estimation from MR Images. - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Arinbjörn Kolbeinsson; Alexander Hammers; Daniel Rueckert (MLCN/RNO-AI@MICCAI, 2020)

Bayesian Sampling Bias Correction: Training with the Right Loss Function. - Loïc Le Folgoc; Vasileios Baltatzis; Amir Alansary; Sujal Desai; Anand Devaraj; Sam Ellis; Octavio E. Martinez Manzanera; Fahdi Kanavati; Arjun Nair; Julia A. Schnabel; Ben Glocker (CoRR, 2020)

Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data. - Octavio E. Martinez Manzanera; Sam Ellis; Vasileios Baltatzis; Arjun Nair; Loïc Le Folgoc; Sujal Desai; Ben Glocker; Julia A. Schnabel (ISBI, 2021)

The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. - Vasileios Baltatzis; Kyriaki-Margarita Bintsi; Loïc Le Folgoc; Octavio E. Martinez Manzanera; Sam Ellis; Arjun Nair; Sujal Desai; Ben Glocker; Julia A. Schnabel (PRIME@MICCAI, 2021)

The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. - Vasileios Baltatzis; Loïc Le Folgoc; Sam Ellis; Octavio E. Martinez Manzanera; Kyriaki-Margarita Bintsi; Arjun Nair; Sujal Desai; Ben Glocker; Julia A. Schnabel (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Voxel-Level Importance Maps for Interpretable Brain Age Estimation. - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Alexander Hammers; Daniel Rueckert (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. - Loïc Le Folgoc; Vasileios Baltatzis; Amir Alansary; Sujal Desai; Anand Devaraj; Sam Ellis; Octavio E. Martinez Manzanera; Fahdi Kanavati; Arjun Nair; Julia A. Schnabel; Ben Glocker (CoRR, 2021)

Is MC Dropout Bayesian? - Loïc Le Folgoc; Vasileios Baltatzis; Sujal Desai; Anand Devaraj; Sam Ellis; Octavio E. Martinez Manzanera; Arjun Nair; Huaqi Qiu; Julia A. Schnabel; Ben Glocker (CoRR, 2021)

KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation. - Vasileios Baltatzis; Luca Costabello (LoG, 2023)

Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning. - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Rolandos Alexandros Potamias; Alexander Hammers; Daniel Rueckert (MICCAI (8), 2023)

A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression. - Kyriaki-Margarita Bintsi; Tamara T. Mueller; Sophie Starck; Vasileios Baltatzis; Alexander Hammers; Daniel Rueckert (GRAIL/OCELOT@MICCAI, 2023)

Neural Sign Actors: A diffusion model for 3D sign language production from text. - Vasileios Baltatzis; Rolandos Alexandros Potamias; Evangelos Ververas; Guanxiong Sun; Jiankang Deng; Stefanos Zafeiriou (CVPR, 2024)

Towards AI-driven Sign Language Generation with Non-manual Markers. - Han Zhang 004; Rotem Shalev-Arkushin; Vasileios Baltatzis; Connor Gillis; Gierad Laput; Raja S. Kushalnagar; Lorna C. Quandt; Leah Findlater; Abdelkareem Bedri; Colin Lea (CHI, 2025)